Abstract
This qualitative and ethnographic study examines how interactions embedded in the Collaborative Computational Thinking Design Practices (CCTDP) framework, has helped rural children think to solve STEM related open ended problems in English lessons. Our multimodal interactive approach revealed that students naturally has an orientation to problem solving that can be nurtured and trained towards a certain preferred computational thinking concept practices. The CCTDP has specifically three problem solving orientations, but this paper highlights only one of these orientation; ‘logic-decomposition-abstraction’ (LDA) orientation which is identified as the second level of problem solving orientation in the CCTDP framework. This study also highlights the importance of group interactions in computational design thinking practices integrated in learning of English across science, technology, engineering and mathematics (STEM).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zaman, H.B., et al.: Integrating Computational Thinking (CT) with English across STEM.: proposal. Bangi: Universiti Kebangsaan Malaysia, Bangi (2016)
Zaman, H.B., et al.: Computational Thinking (CT) across STEM model in teaching English amongst elementary school children in Kedah, Malaysia. Digital Transformation Landscape in the Fourth Industrial Revolution (4IR) era. In VIIS 2018, Bangi: IVI, UKM (2018)
Cavalluci, D., Lutz, P.: Beyond TRIZ limits. Triz J. (1998). https://triz.journal.com
Chechurin, L., Collan, M.: Advances in Systematic Creativity: Creating and Managing Innovation, 1st edn. Prime Student, New York (2016)
Chechurin, L.: TRIZ in science. In: Reviewing indexed publications School of Business 538 Procedia CIRP ScienceDirect TFC 2015 – TRIZ 2018. FUTURE 2015 and Management Lappeenranta University of Technology Lappeenranta, Finland, vol. 39, pp. 156–165 (2017)
Hadi, S.A., Susantini, E., Agustini, R.: Training of students’ critical thinking skills through the implementation of a modified free inquiry model. In: Journal of Physics: Conference Series, vol. 947, p. 012063 (2018)
Hurd, P.: The state of critical thinking today. In: Develo** Blu prints for Institutional Change Foundation for Critical Change, New York (2018)
Foster, J., Yaoyuneyong, G.: Teaching innovation: equip** students to overcome real-world challenge. J. Higher Educ. Pedagogies 1(1), 42–56 (2016)
Norzari, A.Y., Saimian, H.: The effects of problem-solving teaching on creative thinking among district 2 high school students in Sari city. J. Acad. Med. Sci. Bosnia Herzegovina 26(6), 360–363 (2014)
Sullenger, K.: Fostering higher level of scientific literacy: confronting potential barriers to science understanding. University of New Brunswick, New Brunswick (2005)
Anwar, M.N., Shamim-ur-Parsool, S., Haq, R.: A comparison of creative thinking abilities of high and low achievers secondary computer interaction school students. Int. Interdiscip. J.0 Educ. 1(1), 1–10 (2012)
Yasar, O.: A new perspective on Computational Thinking. Commun. ACM 61(7), 33–38 (2018)
Snalune, P.: The benefits of Computational Thinking. Chartered Institute for IT, British Computer Society, London (2015)
Sheldon, E.: Computational thinking across the curriculum (2017). https://www.edutopia.org/blog/computational-thinking-across-the-curriculum-eli-sheldon
Wolfram, S.: How to teach Computational Thinking (2017). https://www.wired.com/2016/09/how-to-teach-computational-thinking
Bowden Melander, H.: Problem Solving in collaborative game design practices: epistemic stance, affect and engagement. Learn. Media Technol. 44(2), 124–143 (2019). https://doi.org/10.1080/17439884.2018.1563106
Barr, V., Stephenson, C.: Bringing Computational Thinking to K-12: what is involved and what is the role of the computer science education community? Inroads 2, 48–54 (2018). New York
Mardiyana, N.M., Pramudya, I.: Science, technology, engineering, mathematics (STEM) as mathematics learning approach in 21st century. In: AIP Conference Proceedings, vol. 1868, p. 050024. American Institute of Physics (2017). https://doi.org/10.1063/1.4995151. http://aip.scitation.org/toc/apc/1868/1
Sullivan, A., Bers, M.U.: Robotics in the early childhood classroom: Learning outcomes from an 8-week robotics curriculum in pre-kindergarten through second grade. Int. J. Technol. Des. Educ. 26(1), 3–20 (2016). https://doi.org/10.1007/s10798-015-9304-5
United States of America. Department of Education.: Science, Technology, Engineering and Maths: Education for Global Leadership. Washington: US Department of Education (2015)
Kopp, K.H., Stowitschek, J.J.: Effects of Teachers’ Planning on Mathematics Computation skills. Wiley, New York (1980)
Cannon, M., Potter, J., Andrew, B.: Dynamic, playful, and predictive literacies. Changing English 25(2), 180–192 (2018). https://doi.org/10.1080/1358684x2018.1452146
Jiang, J., Jeffery, B., Katherine, H., Tobias, E.: An insula-Frontostrial network mediates flexible Cognitive control by adaptively predicting changing control demands. Nat. Commun. [Nat. Res. J.] 6, 8165 (2015)
Kazomoglu, C., Kiernan, M., Bacon, L., Mackinnon, L.: A serious game for develo** Computational Thinking and learning introductory computer programming. Procedia Soc. Behav. Sci. 47, 1991–1999 (2012)
Brennan, K., Mitchel, B.: New framework for studying and assessing the development of computational thinking. In: AERA, MIT Lab, pp. 1–5 (2012)
Bower, M., Wood, L.N., Lai, J.W.M., Hore, C.: Improving the Computational Thinking pedagogical capabilities of school teachers. Aust. J. Sch. Teachers 42(3), 53–71 (2017)
Tak, Y.L., Mauriello, L., Ahn, J., Bederson, B.: CTArcade: Computational thinking with games in school age children. Int. J. Child-Comput. Interact. 2(1), 26–33 (2014)
Ventura, M., Lai, E., DiCerbo, K.: Skills for today: What we know about teaching and assessing critical thinking [White paper] (2017). Accessed 29 Mar 2018. http://www.p21.org/storage/documents/Skills_For_Today_Series-Pearson/White_Paper
Sun, Y.T., Tin, Y.J., Li, S.C.: Triz level 1: Theory of Inventive Problem Solving. Firstfruits Sdn Bhd, Kuala Lumpur (2010)
Sun, Y.T., Tin, Y.J., Li, S.C.: Triz level 2: Theory of Inventive Problem Solving. Firstfruits Sdn Bhd, Kuala Lumpur (2012)
Sun, Y.T., Tin, Y.J., Li, S.C.: Systematic Innovation in Business and Management. Firstfruits Sdn Bhd, Kuala Lumpur (2014)
Yadav, A., Hong, H., Stephenson, C.: Computational thinking for all: Pedagogical approaches to embedding 21st century problem solving in K-12 classrooms. TechTrends 60(6), 565–568 (2016). https://doi.org/10.1007/s11528-016-0087-7
Yadav, A., Stephenson, C., Hong, H.: Computational thinking for teacher education. Communications of the ACM 60(4), 55–62 (2017). https://doi.org/10.1145/2994591
Wing, J.M.: Computational thinking. Communications of the ACM 49(3), 33–35 (2006). https://doi.org/10.1145/1118178.1118215
Wing, J.M.: Computational thinking’s influence on research and education for all. Ital. J. Educ. Technol. 25(5), 7–14 (2017). https://doi.org/10.17471/2499-4324/927
Dorling, M., Stephens, S.: Problem solving in computational thinking rubric (2016). http://community.computingatschool.org.uk/resources/4793
Dorling, M., Walker, M.: Computing at school progressive pathways (2014). https://community.computingatschool.org.uk/resources/1692
Kranov, A., Bryant, R., Orr, G., Wallace, S., Zhang, M.: Develo** a community definition and teaching modules for Computational thinking: Accomplishment and challenges. In: SIGITE, Midland, Michigan, USA, 10 October 2010 (2010)
Jui, C.J., Sun, P., An, J.S.: Six cognitive gaps by using Triz and tools for service system design. Expert Syst. Appl. 38(12), 14751–14755 (2011)
Swaid, S.I.: Bringing Computational thinking to STEM. Sci. Dir. 3, 3657–3662 (2015)
Binet, A., Gavin, V., Leigh, C., Arcaya, M.: Designing and facilitating collaborative research design and data analysis workshops: lessons learned in the healthy neighborhoods study. Int. J. Environ. Res. Publ. Health 16 (2019). https://www.mdpi.com/about/openaccess
West, B., Conrad, F.: Collaborative research: video communication technologies in survey data collection. University of Michigan, Ann Arbor (2019). SCR
Acknowledgement
This work was supported by the Kedah State Government (Grant no. ZG-2015-001) and the Universiti Kebangsaan Malaysia (UKM) Grand Challenge Grant (Grant no. AP-2017-0051).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Zaman, H.B. et al. (2019). Computational Thinking (CT) Problem Solving Orientation Based on Logic-Decomposition-Abstraction (LDA) by Rural Elementary School Children Using Visual-Based Presentations. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2019. Lecture Notes in Computer Science(), vol 11870. Springer, Cham. https://doi.org/10.1007/978-3-030-34032-2_64
Download citation
DOI: https://doi.org/10.1007/978-3-030-34032-2_64
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-34031-5
Online ISBN: 978-3-030-34032-2
eBook Packages: Computer ScienceComputer Science (R0)